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                                <h1 id="&#x6570;&#x636E;&#x5904;&#x7406;">&#x6570;&#x636E;&#x5904;&#x7406;</h1>
<p>&#x5728;MLSQL&#x4E2D;&#xFF0C;&#x4F60;&#x53EF;&#x4EE5;&#x5148;&#x7528;SQL&#x5904;&#x7406;&#x6570;&#x636E;&#xFF0C;&#x7136;&#x540E;&#x63A5;&#x7740;&#x518D;&#x5BF9;&#x6570;&#x636E;&#x4F7F;&#x7528;Python&#x5904;&#x7406;&#x3002;&#x4F7F;&#x7528;&#x8005;&#x53EF;&#x4EE5;&#x975E;&#x5E38;&#x7684;&#x7075;&#x6D3B;&#x3002;
&#x5728;Console&#x4E2D;&#xFF0C;MLSQL&#x6587;&#x4EF6;&#x548C;Python&#x6587;&#x4EF6;&#x53EF;&#x4EE5;&#x5206;&#x5F00;&#x5199;&#xFF1A;</p>
<p></p><div class="image-wrapper python-etl"><a href="http://docs.mlsql.tech/upload_images/bef6c174-c25c-4137-b533-048c8874212e.png" data-lightbox="e40027fa-6086-4093-82ae-ef9fe8af9470" data-title="" target="_blank"><img src="http://docs.mlsql.tech/upload_images/bef6c174-c25c-4137-b533-048c8874212e.png" alt=""></a></div><p></p>
<p>&#x5F53;&#x7136;&#xFF0C;&#x4E5F;&#x53EF;&#x4EE5;&#x76F4;&#x63A5;&#x628A;Python&#x4EE3;&#x7801;&#x5185;&#x5D4C;&#x5230;MLSQL&#x811A;&#x672C;&#x91CC;&#x3002;</p>
<h2 id="sql&#x52A0;&#x8F7D;&#x548C;&#x9884;&#x5904;&#x7406;&#x6570;&#x636E;">SQL&#x52A0;&#x8F7D;&#x548C;&#x9884;&#x5904;&#x7406;&#x6570;&#x636E;</h2>
<p>&#x4E0B;&#x9762;&#x7684;&#x4EE3;&#x7801;&#x6211;&#x4EEC;&#x52A0;&#x8F7D;&#x4E86;&#x6570;&#x636E;&#x6E56;&#x91CC;&#x7684;&#x6D4B;&#x8BD5;&#x6570;&#x636E;&#x3002;</p>
<pre><code>load delta.`public.example_data` as cc;
select * from cc 
-- union all select * from cc 
-- union all select * from cc 
-- union all select * from cc 
as newcc;
</code></pre><p>&#x5F97;&#x5230;&#x8868;newcc&#x3002;</p>
<h2 id="&#x914D;&#x7F6E;python&#x4EE5;&#x53CA;&#x4F7F;&#x7528;python&#x4EE3;&#x7801;&#x5904;&#x7406;&#x6570;&#x636E;">&#x914D;&#x7F6E;Python&#x4EE5;&#x53CA;&#x4F7F;&#x7528;Python&#x4EE3;&#x7801;&#x5904;&#x7406;&#x6570;&#x636E;</h2>
<p>&#x5982;&#x679C;&#x4F60;&#x4F7F;&#x7528;conda,&#x90A3;&#x4E48;&#x53EF;&#x4EE5;&#x7528;&#x4E0B;&#x9762;&#x7684;&#x6307;&#x4EE4;&#x6307;&#x5B9A;&#x9700;&#x8981;&#x4F7F;&#x7528;&#x7684;&#x73AF;&#x5883;&#xFF08;&#x5982;&#x679C;&#x6CA1;&#x6709;&#x4F7F;&#x7528;&#xFF0C;&#x5219;&#x4E0D;&#x9700;&#x8981;&#x8FD9;&#x53E5;&#x547D;&#x4EE4;&#xFF09;&#xFF1A;</p>
<pre><code class="lang-shell">-- ray &#x914D;&#x7F6E;
!python env &quot;PYTHON_ENV=source /usr/local/miniconda/bin/activate dev&quot;;
</code></pre>
<p>&#x63A5;&#x7740;&#x6307;&#x5B9A;Python&#x4EE3;&#x7801;&#x662F;&#x5728;Driver&#x8FD8;&#x662F;&#x5728;Executor&#x7AEF;&#x8DD1;&#xFF0C;&#x63A8;&#x8350;Driver&#x8DD1;&#x3002;</p>
<pre><code class="lang-shell">!python conf &quot;runIn=driver&quot;;
</code></pre>
<p>&#x73B0;&#x5728;&#x6307;&#x5B9A;python&#x7684;&#x6570;&#x636E;&#x8FD4;&#x56DE;&#x683C;&#x5F0F;&#xFF1A;</p>
<pre><code class="lang-shell">!python conf &quot;schema=st(field(ProductName,string),field(SubProduct,string))&quot;;
</code></pre>
<p>&#x5982;&#x679C;&#x7528;&#x6237;&#x4F7F;&#x7528;Ray&#x505A;&#x5206;&#x5E03;&#x5F0F;&#x6570;&#x636E;&#x5904;&#x7406;&#xFF0C;&#x8BF7;&#x5C06;dataMode&#x8BBE;&#x7F6E;&#x4E3A;data.&#x5426;&#x5219;&#x8BBE;&#x7F6E;&#x4E3A;model. &#x5728;&#x73B0;&#x5728;&#x8FD9;&#x4E2A;&#x4F8B;&#x5B50;&#x91CC;&#xFF0C;&#x6211;&#x4EEC;&#x8BBE;&#x7F6E;&#x4E3A;model&#xFF0C;&#x56E0;&#x4E3A;&#x6211;&#x4EEC;&#x53EA;&#x662F;&#x7B80;&#x5355;&#x7684;&#x5728;python&#x4E2D;&#x83B7;&#x53D6;&#x6240;&#x6709;&#x6570;&#x636E;&#xFF0C;&#x7136;&#x540E;&#x5904;&#x7406;&#x8FD4;&#x56DE;&#x3002;</p>
<pre><code>!python conf &quot;dataMode=model&quot;;
</code></pre><p>&#x5728;MLSQL&#x4E2D;&#x52A0;&#x8F7D;python&#x811A;&#x672C;&#xFF1A;</p>
<pre><code>!pyInclude python_example.foreach.py named wow1;
</code></pre><p>&#x5BF9;&#x5E94;&#x7684;&#x76EE;&#x5F55;&#x7ED3;&#x6784;&#x5982;&#x4E0B;&#xFF1A;</p>
<p></p><div class="image-wrapper python-etl"><a href="http://docs.mlsql.tech/upload_images/aa9b7b3f-dfc0-4e53-9100-e842fc0e0267.png" data-lightbox="64fc2cfc-12e1-498f-8238-afc02eea335f" data-title="" target="_blank"><img src="http://docs.mlsql.tech/upload_images/aa9b7b3f-dfc0-4e53-9100-e842fc0e0267.png" alt=""></a></div><p></p>
<p>&#x52A0;&#x8F7D;&#x540E;&#x5C31;&#x53EF;&#x4EE5;&#x4F7F;&#x7528;Python&#x5BF9;&#x8868;&#x8FDB;&#x884C;&#x5904;&#x7406;&#x4E86;&#xFF1A;</p>
<pre><code>!ray on newcc py.wow1 named mlsql_temp_table2;
</code></pre><p>&#x6700;&#x540E;&#x4FDD;&#x5B58;&#x7ED3;&#x679C;&#x5E76;&#x4E14;&#x52A0;&#x8F7D;&#x663E;&#x793A;&#xFF1A;</p>
<pre><code>--&#x7ED3;&#x679C;
save overwrite mlsql_temp_table2 as parquet.`/tmp/mlsql_temp_table2`;
load  parquet.`/tmp/mlsql_temp_table2` as mlsql_temp_table3;
</code></pre><h2 id="python&#x811A;&#x672C;&#x8BF4;&#x660E;">Python&#x811A;&#x672C;&#x8BF4;&#x660E;</h2>
<p>&#x524D;&#x9762;&#x6211;&#x4EEC;&#x7528;&#x5230;&#x7684; python_example/foreach.py &#x7684;&#x5185;&#x5BB9;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python"><span class="hljs-comment">## &#x5F15;&#x5165;&#x5FC5;&#x8981;&#x7684;&#x5305;</span>
<span class="hljs-keyword">import</span> ray
<span class="hljs-keyword">from</span> pyjava.api.mlsql <span class="hljs-keyword">import</span> RayContext
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np;

<span class="hljs-comment">## &#x83B7;&#x53D6;ray_context,&#x5982;&#x679C;&#x9700;&#x8981;&#x4F7F;&#x7528;Ray&#xFF0C;&#x90A3;&#x4E48;&#x7B2C;&#x4E8C;&#x4E2A;&#x53C2;&#x6570;&#x586B;&#x5199;Ray&#x5730;&#x5740;</span>
<span class="hljs-comment">## &#x5426;&#x5219;&#x8BBE;&#x7F6E;&#x4E3A;None&#x5C31;&#x597D;&#x3002;</span>
ray_context = RayContext.connect(globals(),<span class="hljs-keyword">None</span>)

<span class="hljs-comment"># &#x901A;&#x8FC7;ray_context.data_servers() &#x83B7;&#x53D6;&#x6240;&#x6709;&#x6570;&#x636E;&#x6E90;&#xFF0C;&#x5982;&#x679C;&#x5F00;&#x542F;&#x4E86;Ray&#xFF0C; &#x90A3;&#x4E48;&#x5C31;&#x53EF;&#x4EE5;&#x5728;</span>
<span class="hljs-comment"># &#x5206;&#x5E03;&#x5F0F;&#x83B7;&#x53D6;&#x8FD9;&#x4E9B;&#x6570;&#x636E;&#x8FDB;&#x884C;&#x5904;&#x7406;&#x3002;</span>
datas = RayContext.collect_from(ray_context.data_servers())

<span class="hljs-comment">## &#x5BF9;&#x6570;&#x636E;&#x8FDB;&#x884C;&#x5904;&#x7406;</span>
<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">echo</span><span class="hljs-params">(row)</span>:</span>
    row1 = {}
    row1[<span class="hljs-string">&quot;ProductName&quot;</span>]=<span class="hljs-string">&quot;jackm&quot;</span>
    row1[<span class="hljs-string">&quot;SubProduct&quot;</span>] = row[<span class="hljs-string">&quot;SubProduct&quot;</span>]
    <span class="hljs-keyword">return</span> row1


buffer = (echo(row) <span class="hljs-keyword">for</span> row <span class="hljs-keyword">in</span> datas)

<span class="hljs-comment">## &#x8F93;&#x51FA;&#x7ED3;&#x679C;. &#x5176;&#x4E2D;context &#x662F;&#x5185;&#x7F6E;&#x53D8;&#x91CF;&#xFF0C;&#x65E0;&#x9700;&#x7533;&#x660E;&#x5C31;&#x53EF;&#x4EE5;&#x4F7F;&#x7528;&#x3002;</span>
context.build_result(buffer)
</code></pre>
<h2 id="&#x5982;&#x4F55;&#x4F7F;&#x7528;ray&#x5206;&#x5E03;&#x5F0F;&#x5904;&#x7406;">&#x5982;&#x4F55;&#x4F7F;&#x7528;Ray&#x5206;&#x5E03;&#x5F0F;&#x5904;&#x7406;</h2>
<p>&#x524D;&#x9762;&#x7684;&#x4F8B;&#x5B50;&#x6211;&#x4EEC;&#x5176;&#x5B9E;&#x6CA1;&#x6709;&#x4F7F;&#x7528;&#x5230;Ray&#xFF0C;&#x8FD9;&#x91CC;&#x6211;&#x4EEC;&#x7B80;&#x5355;&#x4ECB;&#x7ECD;&#x4E0B;&#x7528;&#x6237;&#x5982;&#x4F55;&#x4F7F;&#x7528;pyjava&#x9AD8;&#x9636;API&#x81EA;&#x52A8;&#x4F7F;&#x7528;Ray&#x5B8C;&#x6210;&#x5206;&#x5E03;&#x5F0F;&#x5904;&#x7406;&#xFF1A;</p>
<pre><code class="lang-python"><span class="hljs-keyword">import</span> ray
<span class="hljs-keyword">from</span> pyjava.api.mlsql <span class="hljs-keyword">import</span> RayContext
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np;

<span class="hljs-comment">## &#x505A;&#x5206;&#x5E03;&#x5F0F;&#x5904;&#x7406;&#xFF0C;&#x7B2C;&#x4E8C;&#x4E2A;Ray&#x5730;&#x5740;&#x53C2;&#x6570;&#x662F;&#x5FC5;&#x987B;&#x7684;</span>
ray_context = RayContext.connect(globals(),<span class="hljs-string">&quot;192.168.209.29:49417&quot;</span>)

<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">echo</span><span class="hljs-params">(row)</span>:</span>
    row1 = {}
    row1[<span class="hljs-string">&quot;ProductName&quot;</span>]=<span class="hljs-string">&quot;jackm&quot;</span>
    row1[<span class="hljs-string">&quot;SubProduct&quot;</span>] = row[<span class="hljs-string">&quot;SubProduct&quot;</span>]
    <span class="hljs-keyword">return</span> row1

ray_context.foreach(echo)
</code></pre>
<p>&#x9664;&#x4E86;foreach,&#x8FD8;&#x6709;map_iter&#xFF0C; map_iter &#x91CC;&#x7684;&#x51FD;&#x6570;&#x63A5;&#x53D7;&#x4E00;&#x4E2A;generator,&#x8FD4;&#x56DE;&#x4E5F;&#x9700;&#x8981;&#x662F;&#x4E00;&#x4E2A;generator.</p>
<p>&#x5728;<a href="http://docs.mlsql.tech/mlsql-engine/python/pyjava.html" target="_blank">PyJava API&#x7B80;&#x4ECB;</a>,&#x6211;&#x4EEC;&#x4F1A;&#x66F4;&#x8BE6;&#x7EC6;&#x7684;&#x4ECB;&#x7ECD;&#x5404;&#x79CD;API&#xFF0C;&#x65B9;&#x4FBF;&#x7528;&#x6237;&#x83B7;&#x53D6;&#x548C;&#x5904;&#x7406;&#x6570;&#x636E;&#x3002;</p>

                                
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